Rathinavelu Chengalvarayan

31 papers A 9Misc 5Journal 9Unranked 8
YearRankTypeTitle / Venue / Authors
2013 — conf
Segmentation Strategies for Streaming Speech Translation.
HLT-NAACL
Vivek Kumar Rangarajan Sridhar, John Chen, Srinivas Bangalore, Andrej Ljolje, Rathinavelu Chengalvarayan
2013 A conf
The AT&t speech API: a study on practical challenges for customized speech to text service.
INTERSPEECH
Evandro Gouvêa, Antonio Moreno-Daniel, A. Reddy, Rathinavelu Chengalvarayan, David L. Thomson, Andrej Ljolje
2002 J jnl
Use of voicing features in HMM-based speech recognition.
Speech Commun.
David L. Thomson, Rathinavelu Chengalvarayan
2001 J jnl
A maximum a posteriori approach to speaker adaptation using the trended hidden Markov model.
IEEE Trans. Speech Audio Process.
Rathinavelu Chengalvarayan, Li Deng
2001 A conf
Accent-independent universal HMM-based speech recognizer for american, australian and british English.
INTERSPEECH
Rathinavelu Chengalvarayan
2001 Misc conf
On the use of matrix derivatives in integrated design of dynamic feature parameters for speech recognition.
ICASSP
Rathinavelu Chengalvarayan
2000 A conf
Discriminatively derived HMM-based announcement modeling approach for noise control avoiding the problem of false alarms.
INTERSPEECH
Rathinavelu Chengalvarayan, David L. Thomson
2000 A conf
HMM-based echo and announcement modeling approaches for noise suppression avoiding the problem of false triggers.
INTERSPEECH
Rathinavelu Chengalvarayan, David L. Thomson
2000 A conf
Look-ahead sequential feature vector normalization for noisy speech recognition.
INTERSPEECH
Rathinavelu Chengalvarayan
2000 A conf
The use of nonlinear energy transformation for Tamil connected-digit speech recognition.
INTERSPEECH
Rathinavelu Chengalvarayan
2000 A conf
Unified acoustic modeling for continuous speech recognition.
INTERSPEECH
Rathinavelu Chengalvarayan
2000 A conf
Use of linear extrapolation based linear predictive cepstral features (LE-LPCC) for Tamil speech recognition.
INTERSPEECH
Rathinavelu Chengalvarayan
2000 A conf
Use of multiple classifiers for speech recognition in wireless CDMA network environments.
INTERSPEECH
Rathinavelu Chengalvarayan
1999 Misc conf
Hierarchical subband linear predictive cepstral (HSLPC) features for HMM-based speech recognition.
ICASSP
Rathinavelu Chengalvarayan
1999 — conf
Robust energy normalization using speech/nonspeech discriminator for German connected digit recognition.
EUROSPEECH
Rathinavelu Chengalvarayan
1998 — conf
A comparative study of hybrid modelling techniques for improved telephone speech recognition.
ICSLP
Rathinavelu Chengalvarayan
1998 J jnl
Improved speech modelling and recognition using a new training algorithm based on outlier-emphasis for non-stationary state HMM.
Speech Commun.
Rathinavelu Chengalvarayan
1998 J jnl
Linear trajectory models incorporating preprocessing parameters for speech recognition.
IEEE Signal Process. Lett.
Rathinavelu Chengalvarayan
1998 — conf
Maximum-likelihood updates of HMM duration parameters for discriminative continuous speech recognition.
ICSLP
Rathinavelu Chengalvarayan
1998 Misc conf
On the use of normalized LPC error towards better large vocabulary speech recognition systems.
ICASSP
Rathinavelu Chengalvarayan
1998 J jnl
Speaker adaptation using discriminative linear regression on time-varying mean parameters in trended HMM.
IEEE Signal Process. Lett.
Rathinavelu Chengalvarayan
1998 J jnl
Speech trajectory discrimination using the minimum classification error learning.
IEEE Trans. Speech Audio Process.
Rathinavelu Chengalvarayan, Li Deng
1998 Misc conf
Use of periodicity and jitter as speech recognition features.
ICASSP
David L. Thomson, Rathinavelu Chengalvarayan
1997 J jnl
HMM-based speech recognition using state-dependent, discriminatively derived transforms on mel-warped DFT features.
IEEE Trans. Speech Audio Process.
Rathinavelu Chengalvarayan, Li Deng
1997 — conf
Influence of outliers in training the parametric trajectory models for speech recognition.
EUROSPEECH
Rathinavelu Chengalvarayan
1997 — conf
Minimum classification error linear regression (MCELR) for speaker adaptation using HMM with trend functions.
EUROSPEECH
Rathinavelu Chengalvarayan
1997 J jnl
Use of generalized dynamic feature parameters for speech recognition.
IEEE Trans. Speech Audio Process.
Rathinavelu Chengalvarayan, Li Deng
1997 — conf
Use of vector-valued dynamic weighting coefficients for speech recognition: maximum likelihood approach.
EUROSPEECH
Rathinavelu Chengalvarayan
1996 — conf
The trended HMM with discriminative training for phonetic classification.
ICSLP
Rathinavelu Chengalvarayan, Li Deng
1995 J jnl
A Markov model containing state-conditioned second-order non-stationarity: application to speech recognition.
Comput. Speech Lang.
Li Deng, Rathinavelu Chengalvarayan
1995 Misc conf
Use of generalized dynamic feature parameters for speech recognition: maximum likelihood and minimum classification error approaches.
ICASSP
Rathinavelu Chengalvarayan, Li Deng